The systems and methods provide for migrating database management system (DBMS) applications to cloud storage by automating a continuous replication of changes made to the DBMS from the DBMS to an associated cloud instance. For example, the systems and methods facilitate the migration of the DBMS via multiple processes performing in parallel—a process to create and provision a new machine instance (e.g., an EC2 instance), a process to clone and transfer parameters of the operating system/software of the DBMS, and a process that backs up and/or captures the application data of the DBMS. In some embodiments, the systems and methods, utilizing parallel processes, and combining outputs of the processes to a synchronization process, efficiently and quickly migrate DBMS applications to cloud storage, among other benefits.
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3. The method of claim 1, wherein providing the application data to the database management system of the new machine instance of the virtual machine is performed by a synchronization application.
A system and method for managing application data in a virtualized computing environment addresses the challenge of efficiently transferring and synchronizing application data between virtual machine instances. The invention involves a synchronization application that facilitates the transfer of application data from a source machine instance to a database management system of a new machine instance. The synchronization application ensures that the application data is accurately and reliably transferred, maintaining data consistency and integrity during the migration or replication process. The system may include a virtual machine manager that oversees the creation and management of virtual machine instances, ensuring that the new machine instance is properly configured to receive and process the application data. The synchronization application may employ various techniques, such as incremental synchronization, conflict resolution, and data validation, to optimize the transfer process and minimize downtime. This approach enables seamless transitions between virtual machine instances, improving system scalability, reliability, and performance in cloud computing and virtualized environments.
4. The method of claim 1, wherein providing the application data to the database management system of the new machine instance of the virtual machine includes executing an application instance configuration script for the application data.
This invention relates to virtual machine (VM) deployment and configuration, specifically addressing the challenge of efficiently provisioning and configuring application data in new VM instances. The method involves deploying a new machine instance of a virtual machine and providing application data to the database management system (DBMS) of that instance. The key innovation is the use of an application instance configuration script to automate the transfer and setup of application data. This script ensures that the application data is correctly formatted, validated, and integrated into the DBMS of the new VM instance, reducing manual intervention and potential errors. The process may include steps such as initializing the VM, establishing a connection to the DBMS, and executing the configuration script to apply the application data. The script may also handle dependencies, such as required libraries or configurations, to ensure seamless operation of the application within the new VM environment. This approach improves deployment efficiency, consistency, and reliability in virtualized environments.
5. The method of claim 1, wherein the backup operation is a full backup.
A method for performing a full backup operation in a data storage system addresses the need for reliable and efficient data protection. The method involves initiating a full backup process, where all selected data is copied from a primary storage location to a backup storage location. This ensures that a complete snapshot of the data is preserved, providing a comprehensive recovery point in case of data loss or corruption. The full backup operation may include steps such as identifying the data to be backed up, allocating storage resources for the backup, transferring the data, and verifying the integrity of the copied data. The method may also incorporate error handling mechanisms to address any issues that arise during the backup process, such as network interruptions or storage failures. By performing a full backup, the system ensures that all data is accounted for, reducing the risk of incomplete or inconsistent backups. This approach is particularly useful in environments where data integrity and availability are critical, such as enterprise systems or mission-critical applications. The method may be implemented as part of a broader data management strategy, which could include incremental or differential backups to optimize storage and performance.
6. The method of claim 1, wherein restoring the database management system to the new machine instance of the virtual machine within the cloud storage includes recreating data directories of the database management system on the source machine.
This invention relates to database management system (DBMS) recovery in cloud environments. The problem addressed is efficiently restoring a DBMS to a new virtual machine (VM) instance within cloud storage, particularly ensuring data integrity and minimizing downtime during migration or failure recovery. The method involves recreating data directories of the DBMS on the source machine as part of the restoration process to a new VM instance. This includes copying or reconstructing the original data directories from the source machine to the new VM instance within the cloud storage environment. The process ensures that all necessary database files, configurations, and dependencies are properly transferred or rebuilt, maintaining the DBMS's operational state. The invention may also involve additional steps such as synchronizing metadata, validating data consistency, and ensuring compatibility between the source and target environments. The method is designed to handle various cloud storage architectures and VM configurations, providing a reliable way to restore DBMS functionality after failures or planned migrations. The approach minimizes manual intervention and reduces the risk of data loss or corruption during the restoration process.
7. The method of claim 1, wherein restoring the database management system to the new machine instance of the virtual machine within the cloud storage includes mounting provisioned data volumes to the new machine instance of the virtual machine.
This invention relates to database management system (DBMS) recovery in cloud environments. The problem addressed is efficiently restoring a DBMS to a new virtual machine (VM) instance within cloud storage, ensuring data integrity and minimizing downtime. The solution involves mounting provisioned data volumes to the new VM instance during the restoration process. These data volumes contain the necessary database files and configurations required for the DBMS to function properly. The method ensures that the restored DBMS maintains access to its original data while operating in the new VM instance. This approach simplifies the recovery process by leveraging pre-configured storage resources, reducing manual intervention and potential errors. The invention is particularly useful in cloud computing environments where rapid and reliable system recovery is critical. The restoration process may also include additional steps such as initializing the DBMS, verifying data consistency, and ensuring network connectivity to the mounted data volumes. By mounting provisioned data volumes, the method ensures that the DBMS can quickly resume operations with minimal disruption.
8. The method of claim 1, restoring the database management system to the new machine instance of the virtual machine within the cloud storage includes configuring storage software for the new machine instance of the virtual machine.
This invention relates to database management system (DBMS) recovery in cloud environments. The problem addressed is the need to efficiently restore a DBMS to a new virtual machine (VM) instance within cloud storage, ensuring minimal downtime and data integrity. The method involves restoring a DBMS to a new VM instance by configuring storage software for the new instance. This includes setting up the storage environment to ensure compatibility with the DBMS, enabling proper data access, and maintaining performance and reliability. The storage software configuration may involve adjusting storage settings, mounting storage volumes, and ensuring proper permissions and access controls. The method may also include steps such as identifying the new VM instance, verifying its compatibility with the DBMS, and ensuring that the storage software is correctly installed and configured. This ensures that the DBMS can operate seamlessly on the new VM instance, with all necessary storage resources properly allocated and accessible. The invention aims to provide a robust and efficient way to restore a DBMS in a cloud environment, reducing recovery time and ensuring data consistency. This is particularly useful in scenarios where a DBMS needs to be migrated or recovered due to hardware failures, maintenance, or other operational requirements.
9. The method of claim 1, restoring the database management system to the new machine instance of the virtual machine within the cloud storage includes configuring database application software for the new machine instance of the virtual machine.
This invention relates to database management system (DBMS) recovery in cloud environments. The problem addressed is the need to efficiently restore a DBMS to a new virtual machine (VM) instance within cloud storage, ensuring minimal downtime and data loss. The solution involves a method for migrating and restoring a DBMS from a failed or corrupted state to a new VM instance in the cloud. The method includes several key steps. First, the DBMS is identified as requiring restoration, typically due to failure or corruption. Next, a new VM instance is provisioned within the cloud storage environment. The DBMS is then restored to this new VM instance, which involves configuring the database application software for the new VM. This configuration ensures the DBMS operates correctly in the new environment, including setting up necessary parameters, connections, and dependencies. Additionally, the method may include steps to ensure data integrity and availability during the restoration process. This may involve synchronizing data from a backup or secondary storage system to the new VM instance. The method also ensures that the restored DBMS is compatible with the new VM instance, including any required software updates or patches. The overall goal is to provide a seamless and automated process for restoring a DBMS to a new VM instance in the cloud, minimizing disruption to users and maintaining data consistency. This approach is particularly useful in cloud environments where rapid recovery and scalability are critical.
10. The method of claim 1, wherein generating the new machine instance of the virtual machine includes generating a new machine instance having machine configuration parameters based on the captured configuration details of the source machine.
This invention relates to virtual machine (VM) management in cloud computing environments, specifically addressing the challenge of efficiently replicating a source virtual machine's configuration to create a new machine instance. The problem solved is the need for accurate and automated transfer of machine configuration parameters from an existing VM to a new instance, ensuring consistency and reducing manual intervention. The method involves capturing detailed configuration settings from a source machine, including hardware specifications, software dependencies, and operational parameters. These captured details are then used to generate a new machine instance of the virtual machine, where the new instance inherits the same configuration parameters as the source. This ensures that the new instance operates identically to the source, maintaining performance, compatibility, and functionality. The approach minimizes errors associated with manual configuration and streamlines the deployment of VM instances in cloud environments. The solution is particularly useful in scenarios requiring rapid scaling, disaster recovery, or migration of virtual machines while preserving their original setup. By automating the configuration transfer process, the method enhances efficiency and reliability in virtual machine management.
11. The method of claim 1, wherein generating the new machine instance of the virtual machine includes generating a new machine instance having storage configuration parameters based on the configuration details of the database management system of the source machine.
This invention relates to virtual machine (VM) migration, specifically addressing the challenge of efficiently replicating a source machine's database management system (DBMS) configuration into a new VM instance. The problem arises when migrating or cloning a VM, as the storage configuration parameters of the DBMS must be accurately preserved to ensure compatibility and performance. The solution involves generating a new VM instance with storage configuration parameters that mirror those of the source machine's DBMS. This includes replicating settings such as storage allocation, partitioning schemes, and performance optimizations to maintain consistency between the original and new environments. The method ensures that the new VM instance operates with the same storage characteristics as the source, reducing compatibility issues and minimizing manual configuration efforts. By automating the transfer of these parameters, the invention streamlines VM deployment and migration processes, particularly in cloud or virtualized environments where rapid provisioning is critical. The approach is applicable to various DBMS configurations, including those with complex storage requirements, and supports seamless transitions between different hardware or virtualization platforms.
12. The method of claim 1, wherein generating the new machine instance of the virtual machine includes generating a new machine instance having software configuration parameters based on the configuration details of the database management system of the source machine.
This invention relates to virtual machine (VM) management in cloud computing environments, specifically addressing the challenge of efficiently replicating VM instances while preserving software configurations. The method involves creating a new VM instance that inherits the software configuration parameters of an existing source machine, particularly those related to a database management system (DBMS). The process ensures that the new VM instance is functionally equivalent to the source machine, maintaining consistency in software settings, dependencies, and operational behavior. This approach simplifies VM deployment, reduces manual configuration errors, and accelerates the provisioning of identical or similar VM instances for tasks such as scaling, backup, or disaster recovery. The technique is particularly useful in environments where maintaining identical software configurations across multiple VMs is critical for performance, security, or compliance reasons. By automating the transfer of configuration details, the method minimizes downtime and ensures seamless integration of the new VM into existing workflows. The solution is applicable to various cloud platforms and virtualization technologies, providing flexibility and scalability for enterprise IT operations.
15. The system of claim 13, wherein providing the application data to the database management system of the new machine instance of the virtual machine is performed by a synchronization application.
A system for managing application data in a virtualized computing environment addresses the challenge of efficiently transferring and synchronizing application data between virtual machine instances. The system includes a virtual machine instance hosting a database management system and an application that generates or processes data. When a new virtual machine instance is created, the system transfers the application data from the original virtual machine instance to the new instance. This transfer is performed by a synchronization application, which ensures that the data is accurately and reliably moved to the new database management system. The synchronization application may use various techniques to maintain data consistency, such as incremental updates or checksum verification, to prevent data loss or corruption during the transfer process. The system is particularly useful in cloud computing environments where virtual machine instances are frequently created, scaled, or migrated, ensuring seamless continuity of application data across different instances. By automating the data transfer process, the system reduces manual intervention and minimizes downtime, improving operational efficiency and reliability in virtualized environments.
16. The system of claim 13, wherein providing the application data to the database management system of the new machine instance of the virtual machine includes executing an application instance configuration script for the application data.
A system for managing application data in a virtualized computing environment addresses the challenge of efficiently deploying and configuring application instances across multiple virtual machine instances. The system includes a virtual machine instance provisioning module that creates new machine instances of virtual machines, each with a database management system. An application data provisioning module provides application data to the database management system of the new machine instance. This provisioning process involves executing an application instance configuration script specifically designed for the application data, ensuring proper setup and compatibility with the new environment. The system also includes a monitoring module that tracks the status of the provisioning process, verifying successful deployment and configuration. Additionally, a recovery module handles any failures during provisioning, ensuring data integrity and system reliability. The configuration script automates the setup of the application data, reducing manual intervention and minimizing errors. This approach streamlines the deployment of application instances, improving efficiency and consistency across virtualized environments.
17. The system of claim 13, wherein the backup operation is a full backup.
A system for data backup and recovery is disclosed, addressing the need for efficient and reliable data protection in computing environments. The system performs backup operations to create copies of data stored on a primary storage device, ensuring data can be restored in case of loss or corruption. The system includes a backup module that initiates backup operations, a storage module that manages the storage of backup data, and a recovery module that facilitates data restoration. The backup module can perform different types of backup operations, including full backups, incremental backups, and differential backups. A full backup involves copying all selected data from the primary storage device to a backup storage location, providing a complete snapshot of the data at a specific point in time. The system may also include scheduling functionality to automate backup operations at predefined intervals, reducing the risk of data loss due to human error or oversight. Additionally, the system may implement data compression, encryption, and deduplication techniques to optimize storage efficiency and security. The storage module ensures that backup data is stored in a structured manner, allowing for quick retrieval during recovery operations. The recovery module enables users to restore data from backups, either partially or in full, depending on the recovery requirements. The system may also include monitoring and reporting features to track backup status, performance, and potential issues, ensuring continuous data protection.
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August 4, 2020
December 6, 2022
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